Gerard Wagemaker
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 49
- Platelet Disorders and Treatments 18
- Acute Myeloid Leukemia Research 16
- Immunology top 2%
- Immune Cell Function and Interaction 22
- Immune Response and Inflammation 17
- Genetics top 2%
- Virus-based gene therapy research 34
- Mesenchymal stem cell research 16
- Genetics top 2%
- Virus-based gene therapy research 34
- Mesenchymal stem cell research 16
- Oncology top 5%
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- RNA Interference and Gene Delivery 18
- Co-authors
- Bob LöwenbergAW WognumTrudi P. VisserMonique M.A. VerstegenLambert C. J. DorssersAlbertus W. WognumRuud DelwelFrank J. T. Staal
- Cited by
- HematologyImmunologyGenetics
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Gerard Wagemaker
143 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 114
- Hematology 1.5k
- Immunology 1.1k
- Genetics 465
- Genetics 1.1k
- Oncology 883
Countries citing papers authored by Gerard Wagemaker
This map shows the geographic impact of Gerard Wagemaker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gerard Wagemaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerard Wagemaker more than expected).
Fields of papers citing papers by Gerard Wagemaker
This network shows the impact of papers produced by Gerard Wagemaker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gerard Wagemaker. The network helps show where Gerard Wagemaker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerard Wagemaker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 16 | |
| 2 | 2017 | 1 | |
| 3 | 2017 | 4 | |
| 4 | 2013 | 23 | |
| 5 | 2013 | 46 | |
| 6 | 2012 | 8 | |
| 7 | 2012 | 13 | |
| 8 | 2011 | 26 | |
| 9 | 2007 | 34 | |
| 10 | 2007 | 53 | |
| 11 | 2002 | 61 | |
| 12 | 1998 | 1 | |
| 13 | 1998 | 17 | |
| 14 | 1997 | 32 | |
| 15 | 1996 | 27 | |
| 16 | 1995 | 46 | |
| 17 | 1992 | 10 | |
| 18 | 1991 | 43 | |
| 19 | 1990 | 7 | |
| 20 | 1988 | 74 |
About Gerard Wagemaker
Gerard Wagemaker is a scholar working on Hematology, Genetics, Immunology, Genetics and Oncology, having authored 146 papers that have together received 4.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (49 papers), Virus-based gene therapy research (34 papers), Immune Cell Function and Interaction (22 papers), RNA Interference and Gene Delivery (18 papers), Platelet Disorders and Treatments (18 papers), Immune Response and Inflammation (17 papers), Acute Myeloid Leukemia Research (16 papers) and Mesenchymal stem cell research (16 papers). The work is most often cited by research in Hematology (1.5k citations), Immunology (1.1k citations), Genetics (465 citations), Genetics (1.1k citations) and Oncology (883 citations). Gerard Wagemaker has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Bob Löwenberg, AW Wognum, Trudi P. Visser, Monique M.A. Verstegen, Lambert C. J. Dorssers, Albertus W. Wognum, Ruud Delwel, Frank J. T. Staal, D. W. van Bekkum and Karen J. Neelis. Their work appears in journals such as Blood, Leukemia, Stem Cells, Experimental Hematology and Human Gene Therapy.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.